loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Doaa Hegazy and Joachim Denzler

Affiliation: Friedrich-Schiller-University in Jena, Germany

Keyword(s): Generic 3D object recognition, Object category database, Boosting, Range data.

Abstract: Very few research is done to deal with the problem of generic object recognition from range images. With the upcoming technique of Time-of-Flight cameras (TOF), for example the PMD-cameras, range images can be acquired in real-time and thus recorded range data can be used for generic object recognition. This paper presents a model for generic recognition of 3D objects from TOF images. The main challenge is the low resolution in space and the noise level of the data which makes careful feature selection and robust classifier necessary. Our approach describes the objects as a set of local shape specific features. These features are computed from interest regions detected and extracted using a suitable interest point detector. Learning is performed in a weakly supervised manner using RealAdaBoost algorithm. The main idea of our approach has previously been applied to 2D images, and, up to our knowledge, has never been applied to range images for the task of generic object recognition. A s a second contribution, a new 3D object category database is introduced which provides 2D intensity as well as 3D range data about its members. Experimental evaluation of the performance of the proposed recognition model is carried out using the new database and promising results are obtained. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.135.183.187

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Hegazy, D. and Denzler, J. (2009). GENERIC 3D OBJECT RECOGNITION FROM TIME-OF-FLIGHT IMAGES USING BOOSTED COMBINED SHAPE FEATURES. In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP; ISBN 978-989-8111-69-2; ISSN 2184-4321, SciTePress, pages 321-326. DOI: 10.5220/0001789303210326

@conference{visapp09,
author={Doaa Hegazy. and Joachim Denzler.},
title={GENERIC 3D OBJECT RECOGNITION FROM TIME-OF-FLIGHT IMAGES USING BOOSTED COMBINED SHAPE FEATURES},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP},
year={2009},
pages={321-326},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001789303210326},
isbn={978-989-8111-69-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP
TI - GENERIC 3D OBJECT RECOGNITION FROM TIME-OF-FLIGHT IMAGES USING BOOSTED COMBINED SHAPE FEATURES
SN - 978-989-8111-69-2
IS - 2184-4321
AU - Hegazy, D.
AU - Denzler, J.
PY - 2009
SP - 321
EP - 326
DO - 10.5220/0001789303210326
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic